RAG and AI Knowledge Assistants
We build AI knowledge assistants that answer from your documents, policies, manuals and records, and show where every answer came from. Your team and customers get accurate, business-specific answers in seconds, and each person only sees what they're allowed to see.
What RAG is
A general AI model doesn't know your policies, your products or your past work, so it guesses. RAG (retrieval-augmented generation) fixes that: before answering, the AI searches your own content and answers from what it finds.
The result is an AI knowledge base your team can trust. Answers are specific to your business, every answer shows its sources, and access rules mean people only get answers from documents they're allowed to see.
What's included
One place to ask questions about your policies, manuals, product information and past work, with answers in plain words and links to the sources.
Search across your drives, wiki, helpdesk and databases by meaning, so people find the right answer even when they don't know the exact words.
A ChatGPT-style assistant that knows your business, for staff or customers, inside your website, app, Slack or Teams.
Each person only gets answers from documents they're allowed to see, and we test accuracy on real questions before launch and keep checking after.
Is knowledge stuck in documents nobody can find?
Tell us where your knowledge lives, and we'll show you what an AI knowledge base could answer.
Where it helps
Leave, benefits and travel questions answered from your handbook.
Agents and customers get answers from your help center and past tickets.
Product specs, pricing rules and case studies at your reps' fingertips.
Engineers and field teams ask questions of manuals and specs.
Staff check rules and procedures, with the exact clause shown.
New hires find answers without waiting for a colleague.
Want to test it on your own documents?
Most projects start with a 2-week pilot on one set of documents.
How we work
We look at where your knowledge lives and who needs answers.
An assistant on one set of documents, tested on real questions.
We connect the remaining sources and add access control and monitoring.
We go live, check answer quality and keep improving it.
Start with a 2-week pilot
An AI knowledge assistant on your own documents, before you commit to more.
Tools
RAG development services build AI that answers from your own content. We prepare your documents, set up search over them, connect a language model that answers from what it finds, and test the answers for accuracy.
An AI knowledge base lets people ask questions in plain words and get answers from your company's documents and data, with links to the sources, instead of searching folders and wikis.
Search tools give you a list of documents. An AI knowledge assistant reads them and gives you the answer, with the source, and we build it around your own systems and access rules.
RAG greatly reduces this, because the AI answers from your documents and shows its sources. We also test answers on real questions and set it to say "I don't know" when your content doesn't cover the question.
PDFs, Word files, wikis, drives, helpdesks, websites and databases. If we can reach the content through an API or export, we can usually include it.
An assistant on one set of documents usually takes 2 to 4 weeks. Connecting many sources with detailed access rules usually takes 6 to 10 weeks.
Get in touch
Share what you'd like to build or automate. We'll reply by email to set up a free consultation.
Let's talk
We help you navigate Enterprise AI, from first use case to production.
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